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Journal articles on the topic 'Reprojekce'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Gardziński, Paweł. "POPRAWA JAKOŚCI MODELU WOKSELOWEGO NA PODSTAWIE HISTOGRAMÓW OBRAZÓW REPROJEKCJI." PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE 1, no. 8-9 (2015): 630–34. http://dx.doi.org/10.15199/59.2015.8-9.88.

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Nichols, Kenneth J., and Denny D. Watson. "The motivation to reproject gated blood pool SPECT data as planar data." Journal of Nuclear Cardiology 20, no. 3 (2013): 329–30. http://dx.doi.org/10.1007/s12350-013-9698-y.

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Casagrande, Angelo, Pénélope Leyland, and Luca Formaggia. "Parallel Mesh Adaptive Techniques for Complex Flow Simulation: Geometry Conservation." Modelling and Simulation in Engineering 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/495935.

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Dynamic mesh adaptation on unstructured grids, by localised refinement and derefinement, is a very efficient tool for enhancing solution accuracy and optimising computational time. One of the major drawbacks, however, resides in the projection of the new nodes created, during the refinement process, onto the boundary surfaces. This can be addressed by the introduction of a library capable of handling geometric properties given by a CAD (computer-aided design) description. This is of particular interest also to enhance the adaptation module when the mesh is being smoothed, and hence moved, to t

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4

Linh. "GPU ACCELERATED COMPUTING IN RADAR INFORMATION PROCESSING." Journal of Military Science and Technology, no. 69A (November 16, 2020): 27–35. http://dx.doi.org/10.54939/1859-1043.j.mst.69a.2020.27-35.

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Position synchronization on maps is a critical problem in displaying radar information. Previously, this process was done in a sequential manner in the central processing (CPU). This often causes some bottlenecks leading to a long processing time because of the limited CPU architecture. To mitigate this problem, we proposed an algorithm of parallel processing to take advantage of the multi-core architecture of GPU to quickly reproject coordinates in radar information processing, improving the information display performance. Practical tests were done on different data sets to demonstrate the p

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Zhang, Tiedong, Shuoshuo Ding, Xun Yan, et al. "Visual-Based Position Estimation for Underwater Vehicles Using Tightly Coupled Hybrid Constrained Approach." Journal of Marine Science and Engineering 13, no. 7 (2025): 1216. https://doi.org/10.3390/jmse13071216.

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A tightly coupled hybrid monocular visual SLAM system for unmanned underwater vehicles (UUVs) is introduced in this paper. Specifically, we propose a robust three-step hybrid tracking strategy. The feature-based method initially provides a rough pose estimate, then the direct method refines it, and finally, the refined results are used to reproject map points to improve the number of features tracked and stability. Furthermore, a tightly coupled visual hybrid optimization method is presented to address the inaccuracy of the back-end pose optimization. The selection of features for stable track

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Gomes de Castro, M. S., and M. Brédif. "PROJECTIVE MULTITEXTURING OF CURRENT 3D CITY MODELS AND POINT CLOUDS WITH MANY HISTORICAL IMAGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 213–18. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-213-2022.

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Abstract. Iconographic image collections are a cultural heritage that could reach a larger audience by proposing their immersive presentation in a 3D web application. Proposing a historical street view application, based on these historical images, raises issues such as the unavailability of historical 3D models of the scene and the heterogeneity and sparsity of these photographs. We propose to use the 3D city and terrain models of the current scene, as well as a 3D point cloud if available, to simultaneously reproject and blend many historical images using an image-based rendering approach. O

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Hruby, F., S. Melamed, R. Ressl, and D. Stanley. "MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 407–12. http://dx.doi.org/10.5194/isprs-archives-xli-b2-407-2016.

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The project presented in this article is to create a completely seamless and cloud-free mosaic of Mexico at a resolution of 5m, using approximately 4,500 RapidEye images. To complete this project in a timely manner and with limited operators, a number of processing architectures were required to handle a data volume of 12 terabytes. This paper will discuss the different operations realized to complete this project, which include, preprocessing, mosaic generation and post mosaic editing. Prior to mosaic generation, it was necessary to filter the 50,000 RapidEye images captured over Mexico betwe

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Hruby, F., S. Melamed, R. Ressl, and D. Stanley. "MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 407–12. http://dx.doi.org/10.5194/isprsarchives-xli-b2-407-2016.

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The project presented in this article is to create a completely seamless and cloud-free mosaic of Mexico at a resolution of 5m, using approximately 4,500 RapidEye images. To complete this project in a timely manner and with limited operators, a number of processing architectures were required to handle a data volume of 12 terabytes. This paper will discuss the different operations realized to complete this project, which include, preprocessing, mosaic generation and post mosaic editing. Prior to mosaic generation, it was necessary to filter the 50,000 RapidEye images captured over Mexico betwe

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Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprs-archives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360&deg; panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image lumina

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10

Wang, Weile, Shuang Li, Hirofumi Hashimoto, et al. "An Introduction to the Geostationary-NASA Earth Exchange (GeoNEX) Products: 1. Top-of-Atmosphere Reflectance and Brightness Temperature." Remote Sensing 12, no. 8 (2020): 1267. http://dx.doi.org/10.3390/rs12081267.

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GeoNEX is a collaborative project led by scientists from NASA, NOAA, and many other institutes around the world to generate Earth monitoring products using data streams from the latest Geostationary (GEO) sensors including the GOES-16/17 Advanced Baseline Imager (ABI), the Himawari-8/9 Advanced Himawari Imager (AHI), and more. An accurate and consistent product of the Top-Of-Atmosphere (TOA) reflectance and brightness temperature is the starting point in the scientific processing pipeline and has significant influences on the downstream products. This paper describes the main steps and the alg

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11

Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprsarchives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360&deg; panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image lumina

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12

Su, Xing, Hanzhong Liang, Hao Wu, Ben Niu, Fengyuan Xu, and Sheng Zhong. "DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models." Proceedings of the ACM on Software Engineering 2, FSE (2025): 2311–34. https://doi.org/10.1145/3729373.

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Understanding the Ethereum smart contract bytecode is essential for ensuring cryptoeconomics security. However, existing decompilers primarily convert bytecode into pseudocode, which is not easily comprehensible for general users, potentially leading to misunderstanding of contract behavior and increased vulnerability to scams or exploits. In this paper, we propose DiSCo, the first LLMs-based EVM decompilation pipeline, which aims to enable LLMs to understand the opaque bytecode and lift it into smart contract code. DiSCo introduces three core technologies. First, a logic-invariant intermediat

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Maúre, Elígio de Raús, Simon Ilyushchenko, and Genki Terauchi. "A Simple Procedure to Preprocess and Ingest Level-2 Ocean Color Data into Google Earth Engine." Remote Sensing 14, no. 19 (2022): 4906. http://dx.doi.org/10.3390/rs14194906.

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Data from ocean color (OC) remote sensing are considered a cost-effective tool for the study of biogeochemical processes globally. Satellite-derived chlorophyll, for instance, is considered an essential climate variable since it is helpful in detecting climate change impacts. Google Earth Engine (GEE) is a planetary scale tool for remote sensing data analysis. Along with OC data, such tools allow an unprecedented spatial and temporal scale analysis of water quality monitoring in a way that has never been done before. Although OC data have been routinely collected at medium (~1 km) and more rec

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14

Philip, Julien, Sébastien Morgenthaler, Michaël Gharbi, and George Drettakis. "Free-viewpoint Indoor Neural Relighting from Multi-view Stereo." ACM Transactions on Graphics 40, no. 5 (2021): 1–18. http://dx.doi.org/10.1145/3469842.

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We introduce a neural relighting algorithm for captured indoors scenes, that allows interactive free-viewpoint navigation. Our method allows illumination to be changed synthetically, while coherently rendering cast shadows and complex glossy materials. We start with multiple images of the scene and a three-dimensional mesh obtained by multi-view stereo (MVS) reconstruction. We assume that lighting is well explained as the sum of a view-independent diffuse component and a view-dependent glossy term concentrated around the mirror reflection direction. We design a convolutional network around inp

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15

Wang, Wenzhuang, Mingcan Ma, Yong Chen, Changqun Xia, Zhenbao Liang, and Jia Li. "FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 8 (2025): 7916–24. https://doi.org/10.1609/aaai.v39i8.32853.

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Text-to-image diffusion model has inspired research into text-to-data synthesis without human intervention, where spatial attentions correlated with semantic entities in text prompts are primarily interpreted as pseudo-masks. However, these vannila attentions often deliver visual-linguistic discrepancies, in which the associations between image features and entity-level tokens are unstable and divergent, yielding inferior masks for realistic applications, especially in more practical open-vocabulary settings. To tackle this issue, we propose a novel text-guided self-driven generative paradigm,

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16

Ge, Jiahao, Mingjun Zhou, Wenrui Bao, Hao Xu, and Chi-Wing Fu. "Creating LEGO Figurines from Single Images." ACM Transactions on Graphics 43, no. 4 (2024): 1–16. http://dx.doi.org/10.1145/3658167.

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This paper presents a computational pipeline for creating personalized, physical LEGO ®1 figurines from user-input portrait photos. The generated figurine is an assembly of coherently-connected LEGO ® bricks detailed with uv-printed decals, capturing prominent features such as hairstyle, clothing style, and garment color, and also intricate details such as logos, text, and patterns. This task is non-trivial, due to the substantial domain gap between unconstrained user photos and the stylistically-consistent LEGO ® figurine models. To ensure assemble-ability by LEGO ® bricks while capturing pro

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17

Marcillat, Marin, Loic Van Audenhaege, Catherine Borremans, Aurélien Arnaubec, and Lenaick Menot. "The best of two worlds: reprojecting 2D image annotations onto 3D models." PeerJ 12 (June 28, 2024): e17557. http://dx.doi.org/10.7717/peerj.17557.

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Imagery has become one of the main data sources for investigating seascape spatial patterns. This is particularly true in deep-sea environments, which are only accessible with underwater vehicles. On the one hand, using collaborative web-based tools and machine learning algorithms, biological and geological features can now be massively annotated on 2D images with the support of experts. On the other hand, geomorphometrics such as slope or rugosity derived from 3D models built with structure from motion (sfm) methodology can then be used to answer spatial distribution questions. However, preci

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18

Guo, Jie, Zijing Zong, Yadong Song, et al. "Efficient Light Probes for Real-Time Global Illumination." ACM Transactions on Graphics 41, no. 6 (2022): 1–14. http://dx.doi.org/10.1145/3550454.3555452.

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Reproducing physically-based global illumination (GI) effects has been a long-standing demand for many real-time graphical applications. In pursuit of this goal, many recent engines resort to some form of light probes baked in a precomputation stage. Unfortunately, the GI effects stemming from the precomputed probes are rather limited due to the constraints in the probe storage, representation or query. In this paper, we propose a new method for probe-based GI rendering which can generate a wide range of GI effects, including glossy reflection with multiple bounces, in complex scenes. The key

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19

Seo, Dong-Uk, and Soon-Yong Park. "DSM Reconstruction from Uncalibrated Multi-View Satellite Stereo Images by RPC Estimation and Integration." Remote Sensing 16, no. 20 (2024): 3863. http://dx.doi.org/10.3390/rs16203863.

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In this paper, we propose a 3D Digital Surface Model (DSM) reconstruction method from uncalibrated Multi-view Satellite Stereo (MVSS) images, where Rational Polynomial Coefficient (RPC) sensor parameters are not available. While recent investigations have introduced several techniques to reconstruct high-precision and high-density DSMs from MVSS images, they inherently depend on the use of geo-corrected RPC sensor parameters. However, RPC parameters from satellite sensors are subject to being erroneous due to inaccurate sensor data. In addition, due to the increasing data availability from the

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20

Cho, Yongchae, and Richard L. Gibson, Jr. "Reverse time migration via frequency-adaptive multiscale spatial grids." GEOPHYSICS 84, no. 2 (2019): S41—S55. http://dx.doi.org/10.1190/geo2018-0292.1.

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Reverse time migration (RTM) is widely used because of its ability to recover complex geologic structures. However, RTM also has a drawback in that it requires significant computational cost. In RTM, wave modeling accounts for the largest part of the computing cost for calculating forward- and backward-propagated wavefields before applying an imaging condition. For this reason, we have applied a frequency-adaptive multiscale spatial grid to enhance the efficiency of the wave simulations. To implement wave modeling for different values of the spatial grid interval, we apply a model reduction te

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21

Ingwersen, Christian Keilstrup, Janus Nørtoft Jensen, Morten Rieger Hannemose, and Anders Bjorholm Dahl. "Evaluating current state of monocular 3D pose models for golf." Proceedings of the Northern Lights Deep Learning Workshop 4 (January 23, 2023). http://dx.doi.org/10.7557/18.6793.

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Monocular 3D human pose estimation has reached an impressive performance. State-of-the-art mod- els predict joint locations that can be accurately reprojected back into the image, resulting in vi- sually convincing detections. However, our aim is to use the predicted poses in a domain with high- frequency movements, that is, for video of ath- letes performing golf swings. Our investigation is based on accurate marker-based motion capture data. Also, for our data, the predicted 3D joint locations look convincing when we reproject them into the image. However, by quantitatively com- paring the r

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22

Eppenga, Roeland, Gerard Snaauw, Koert F. D. Kuhlmann, Ferdi van der Heijden, Theo Ruers, and Jasper Nijkamp. "An improved camera model for oblique-viewing laparoscopes: high reprojection accuracy independent of telescope rotation." Physics in Medicine & Biology, August 15, 2023. http://dx.doi.org/10.1088/1361-6560/acf08f.

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Abstract Objective&#xD;Oblique-viewing laparoscopes are popular in laparoscopic surgeries where the target anatomy is located in narrow areas. Their viewing direction can be shifted by telescope rotation without changing the laparoscope pose. This rotation also changes laparoscope camera parameters that are estimated by camera calibration to be able to reproject an anatomical model onto the laparoscopic view, creating augmented reality (AR). The aim of this study was to develop a camera model that accounts for these changes, achieving high reprojection accuracy for any telescope rotation.

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